Learning Analytics & Knowledge (LAK) DATA CHALLENGE 2014

 

LAK DATA CHALLENGE 2014

http://lak.linkededucation.org

collocated with Learning Analytics & Knowledge 2014

The LAK Dataset (http://lak.linkededucation.org/) provides access to
structured metadata from research publications in the field of learning
analytics. Beyond merely publishing the data, we are actively
encouraging its innovative use and exploitation as part of a public LAK
Data Challenge sponsored by the European Project LinkedUp
(http://linkedup-project.eu<http://linkedup-project.eu/>), co-located with the Learning Analytics &
Knowledge Conference 2014 conference in Indianapolis, Indiana (US) in
March 2014.


IMPORTANT DATES
---------------

- 20th January, 2014: submission deadline
- 3rd February, 2014: notification deadline
- 24-28 March, 2014: LAK2014 Conference.


CHALLENGE OBJECTIVE
-------------------
What do analytics on learning analytics tell us? How can we make sense
of this emerging fieldís historical roots, current state, and future
trends, based on how its members report and debate their research?
Challenge submissions should exploit the LAK Dataset for a meaningful
purpose. This may include submissions which cover one or more of the
following, non-exclusive list of topics:

- Analysis & assessment of the emerging LAK community in terms of
topics, people, citations or connections with other fields
- Innovative applications to explore, navigate and visualise the dataset
(and/or its correlation with other datasets)
- Usage of the dataset as part of recommender systems
- Analysis of the evolution of the LAK discipline
- Improvement and enrichment of the LAK Dataset


SUBMISSION FORMAT
-----------------
Each submission should be accompanied by a 2-4 page paper (ACM format,
see http://www.acm.org/sigs/publications/proceedings-templates) that
contains at least:

- an abstract of the submission
- motivation: which purposes does your system or dataset serve?
- description of your dataset (e.g. if the LAK data is combined with
other datasets), system or demo
- a link to your dataset and/or system or demo

Please use the EasyChair submission form
(https://www.easychair.org/conferences/?conf=lakdatachallenge2014) for
all submissions.


EVALUATION
----------
There will be a light review by members of the challenge committee to
pre-select submissions for presentation. During the LAK conference and
based on the presentations, the challenge winner(s) will be identified
based on votes by the audience and the committee.


PUBLICATION, PRESENTATION & AWARDS
----------------------------------
Accepted submissions will be published in online proceedings and
presented during an interactive LAK Data workshop collocated with the
LAK 2014 conference in Indianapolis, Indiana (US). The three best papers
of each workshop will be invited to a Special Issue in the Journal for
Learning Analytics. In addition, there will be awards for the winning
submissions with very cool prizes (further details to be announced)!


CHALLENGE COMMITTEE
-------------------

- Mathieu D'Aquin (The Open University, United Kingdom)
- Stefan Dietze (L3S Research Center, Germany)
- Hendrik Drachsler (Open Universiteit Nederland, Netherlands)
- Eelco Herder (L3S Research Center, Germany)
- Davide Taibi (Institute for Educational Technologies CNR, Italy)


CONTACT
--------
lakdatachallenge2014@easychair.org<mailto:lakdatachallenge2014@easychair.org>

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4th International Learning Analytics and Knowledge (LAK 2014)

First Call for Papers

LAK 2014

The 4th International Conference 

on Learning Analytics & Knowledge

24-28 March 2014, Indianapolis, Indiana, USA

http://lakconference.org

Conference theme: Intersection of learning analytics research, theory and
practice The International Learning Analytics and Knowledge conference is now
in its fourth year! LAK 14 will keep up the momentum generated in the earlier
meetings as we continue to define who we are as a community and how our
research can inform the important decisions facing education today. We are
experiencing conditions that create a "perfect storm" for making analytics
vitally important for supporting learning in our information age. Not only do
we know more about the basic processes involved in learning, the explosion of
online technology platforms and services provide new opportunities for learning
and generate new forms of data about those processes. Coupled with increasing
societal demands to make learning more accessible and effective for all, we
need scholarly research to ensure that advances in learning technologies and
practices benefit society as a whole. Advances in analytics, data mining and
data visualization promise a way forward for making sense of the massive
amounts of data available so that we can thoughtfully inform learners,
educators, and policy makers.  The location for the conference this year,
Indianapolis, is called "The City at the Crossroads of America."  Accordingly,
the theme for LAK 14 focuses on the crossroads, or intersection, of basic
research on learning, learning theory, and educational practice. We invite
papers that address at least one of these foci, but especially encourage
submissions that demonstrate how they fit together in ways that make our work
relevant to improving learning for people of all ages, leverage the
technologies available to today's learners, and scalable within the many places
where learning occurs. To accomplish these goals, we seek theoretically
motivated papers that utilize analytics to provide direction for understanding
and supporting learning.

TOPICS

LAK 2014 is seeking contributions in a wide variety of topics. The overarching
topic is how data can be used to improve any aspect of a learning
experience. As a guidance, the conference will consider any of the following
topics (authors are strongly encouraged to read the instructions on the
conference web site): Analytic approaches, methods, and tools for sense-making
in learning analytics.  Theories and theoretical concepts for understanding
learning.  Measures of learning, change and Success.  Learning activities,
applications, and interventions.  Issues in learning analytics such as ethics,
cultural transitions, capacity building, etc.  These topics can be studied in a
variety of learning scenarios whether: formal or informal; face-to-face,
blended, or online settings. Proposals are welcome from any various application
domains be it primary and secondary schools, higher education, corporate
workplace or learning in governmental, military, health or commercial
situations. Focus may be on distance or graduate education, mobile and
ubiquitous learning, online communities, to name a few.

SUBMISSION TYPES AND FORMAT

The conference accepts the following type of submissions:
  - Full papers: 10 pages.
  - Short papers: 5 pages.
  - Panel proposals: 4 pages plus 2 separated pages with information about the
    confirmed panelists.
  - Workshop proposals: 2 pages.
  - Tutorial proposals: 2 pages (will not be included in the proceedings).
  - Tool demonstrations: 2 pages.
  - Posters: 2 pages.

All documents must follow the ACM Proceedings Format. Please check the
conference website for detailed author instructions for each type of
submission. Submissions will be received and processed with EasyChair. The
conference proceedings will include all accepted conference submissions except
tutorial proposals and workshop papers.  The conference will also include a
doctoral consortium, the details of which will be available soon.

BEST PAPER AWARD

The three full papers that obtain the highest scores from the reviewers will be
"nominees for the best paper award".  A committee composed by the program
chairs of the current and past edition of the conference will choose the "best
paper award" among the nominees. Both the nominees and the best paper award
will be reflected in the proceedings.

RELEVANT DATES

  - 21 October 2013: Deadline for full/short papers, panel proposals, workshop
    proposals, tutorial proposals, demonstrations and posters (no extension
    will be considered).
  - 11 November 2013: Notification of acceptance for workshop and tutorial
    proposals.
  - 16 December 2013: Notification of acceptance for full/short papers, panel
    proposals, demonstrations and posters.
  - 3 February 2014: Final version of accepted papers due.
  - 24-28 March 2014: Conference.

CONFERENCE ORGANIZER

Society for Learning Analytics Research (SoLAR) - http://www.solaresearch.org

General Chairs

  - Matthew Pistilli, Purdue University, IN, USA
  - James Willis, Purdue University, IN, USA
  - Drew Koch, John N. Gardner Institute for Excellence in Undergraduate
    Education, NC, USA
  - Kimberly Arnold, University of Wisconsin-Madison, WI, USA

Program Chairs

  - Stephanie Teasley, University of Michigan, MI, USA
  - Abelardo Pardo, The University of Sydney, Australia

Workshops and Tutorials Chairs

  - Kalina Yacef, The University of Sydney, Australia
  - Hendrik Drachsler, Center for Learning Sciences and Technologies, Open
    University Netherlands

Demonstrations and Posters Chairs

  - Zach Pardos, Massachusetts Institute of Technology, MA, USA
  - Anna de Liddo, The Open University, UK

Social Media Chair

  - Sean Goggins, Drexel University

Webmaser Chair

  - Krista Galyen, University of Missouri, MO, USA

Publicity Chairs

  - Jenni Swenson, Lake Superior College, MN, USA
  - Tricia Leggett, Zane State College, OH, USA

Local Chair

  - James Willis, Purdue University, IN, USA

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